SAP HANA vs VoltDB

Overview

SAP HANA

Stacks169

Followers148

Votes27

VoltDB

Stacks18

Followers72

Votes18

SAP HANA vs VoltDB: What are the differences?

Introduction: In the world of database management systems, SAP HANA and VoltDB are two popular choices. Below are the key differences between SAP HANA and VoltDB.

Architecture: SAP HANA is an in-memory database that processes data directly in RAM, allowing for faster data retrieval and analysis. On the other hand, VoltDB is an in-memory NewSQL database that uses a distributed, scale-out architecture for high availability and fault tolerance.
Consistency vs. Speed: SAP HANA prioritizes data consistency, ensuring that data is always accurate and up to date. VoltDB, on the other hand, focuses on speed and can sacrifice some level of consistency for high-performance applications that require real-time data processing.
Query Language: SAP HANA uses SQL (Structured Query Language) for querying and manipulating data, making it easier for traditional database developers to work with the system. In contrast, VoltDB uses an extended version of SQL called VoltSQL, which is optimized for distributed, in-memory processing.
Data Replication: SAP HANA supports both synchronous and asynchronous data replication for high availability and disaster recovery purposes. In contrast, VoltDB uses partition replication to ensure data redundancy and availability across nodes in a distributed system.
Scale-out Capabilities: SAP HANA can scale vertically by adding more resources to a single server, but it also supports limited horizontal scaling. VoltDB, on the other hand, is designed for horizontal scaling and can easily add nodes to the cluster to handle increased workload and data processing demands.
Use Cases: SAP HANA is commonly used for enterprise applications that require complex data processing, analytical capabilities, and real-time insights. VoltDB, on the other hand, is preferred for applications that require high-speed data processing, low latency, and real-time decision-making, such as real-time analytics, financial trading platforms, and telecommunications systems.

In Summary, SAP HANA and VoltDB differ in terms of architecture, consistency vs. speed priorities, query language, data replication mechanisms, scale-out capabilities, and preferred use cases.

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Detailed Comparison

SAP HANA	VoltDB
It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.	VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.
processes transactions and analytics at the same time; built-in advanced analytics and multi-model data processing engines	In-Memory Performance with On-Disk Durability;Transparent Scalability with Data Consistency;NewSQL – All the benefits of SQL with Unlimited Scalability;JSON Support for Agile Development;ACID Compliant Transactions;Export Data to OLAP Stores and Data Warehouses
Statistics
Stacks 169	Stacks 18
Followers 148	Followers 72
Votes 27	Votes 18
Pros & Cons
Pros 5 SQL 5 In-memory 4 Distributed 4 Performance 2 Concurrent	Pros 5 SQL + Java 4 A brainchild of Michael Stonebraker 4 In-memory database 3 Very Fast 2 NewSQL
Integrations
Python Power BI Tableau	No integrations available

What are some alternatives to SAP HANA, VoltDB?

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

BuntDB

BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.

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SAP HANA vs VoltDB: What are the differences?

Introduction: In the world of database management systems, SAP HANA and VoltDB are two popular choices. Below are the key differences between SAP HANA and VoltDB.

Architecture: SAP HANA is an in-memory database that processes data directly in RAM, allowing for faster data retrieval and analysis. On the other hand, VoltDB is an in-memory NewSQL database that uses a distributed, scale-out architecture for high availability and fault tolerance.
Consistency vs. Speed: SAP HANA prioritizes data consistency, ensuring that data is always accurate and up to date. VoltDB, on the other hand, focuses on speed and can sacrifice some level of consistency for high-performance applications that require real-time data processing.
Query Language: SAP HANA uses SQL (Structured Query Language) for querying and manipulating data, making it easier for traditional database developers to work with the system. In contrast, VoltDB uses an extended version of SQL called VoltSQL, which is optimized for distributed, in-memory processing.
Data Replication: SAP HANA supports both synchronous and asynchronous data replication for high availability and disaster recovery purposes. In contrast, VoltDB uses partition replication to ensure data redundancy and availability across nodes in a distributed system.
Scale-out Capabilities: SAP HANA can scale vertically by adding more resources to a single server, but it also supports limited horizontal scaling. VoltDB, on the other hand, is designed for horizontal scaling and can easily add nodes to the cluster to handle increased workload and data processing demands.
Use Cases: SAP HANA is commonly used for enterprise applications that require complex data processing, analytical capabilities, and real-time insights. VoltDB, on the other hand, is preferred for applications that require high-speed data processing, low latency, and real-time decision-making, such as real-time analytics, financial trading platforms, and telecommunications systems.

In Summary, SAP HANA and VoltDB differ in terms of architecture, consistency vs. speed priorities, query language, data replication mechanisms, scale-out capabilities, and preferred use cases.